A5058425659- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Climate variability and models
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Water resources management and optimization
- Climate Change and Health Impacts
- Financial Risk and Volatility Modeling
- Fish Ecology and Management Studies
- Energy Load and Power Forecasting
- Climate change and permafrost
- Hydrology and Sediment Transport Processes
- Wind and Air Flow Studies
- Cryospheric studies and observations
- Probabilistic and Robust Engineering Design
- Air Quality and Health Impacts
- Wind Energy Research and Development
- Arctic and Antarctic ice dynamics
- Soil erosion and sediment transport
- Geophysics and Gravity Measurements
- Water Quality and Pollution Assessment
- Advanced Statistical Methods and Models
- Soil and Water Nutrient Dynamics
- Atmospheric aerosols and clouds
Institut National de la Recherche Scientifique
2016-2025
Hydro-Québec
2008-2023
Bangladesh University of Engineering and Technology
2023
Western Sydney University
2022-2023
University of New Brunswick
2023
Centre National pour la Recherche Scientifique et Technique (CNRST)
2020-2021
GDG Environnement
2021
Khalifa University of Science and Technology
2017
Masdar Institute of Science and Technology
2012-2016
Technology Innovation Institute
2013-2016
The objective of the present study is to develop efficient estimation methods for use GEV distribution quantile in presence nonstationarity. Parameter nonstationary model generally done with maximum likelihood method (ML). In this work, we generalized (GML), which covariates are incorporated into parameters. A simulation carried out compare performances GML and ML case stationary (GEV0), a linear dependence location parameter on (GEV1), quadratic (GEV2), both scale parameters (GEV11)....
For the evaluation of wind energy potential, probability density functions (pdfs) are usually used to describe speed distributions. The selection appropriate pdf reduces power estimation error. most widely for applications is 2-parameter Weibull function. In this study, a pdfs model hourly data recorded at 9 stations in United Arab Emirates (UAE). Models include parametric models, mixture models and one non-parametric using kernel concept. A detailed comparison between these three approaches...
Several hydrological phenomena are described by two or more correlated characteristics. These dependent characteristics should be considered jointly to representative of the multivariate nature phenomenon. Consequently, probabilities occurrence cannot estimated on basis univariate frequency analysis (FA). The quantile, representing value variable(s) corresponding a given risk, is one most important notions in FA. estimation quantiles has not been specifically treated FA literature. In...
Models based on canonical correlation analysis (CCA) and artificial neural networks (ANNs) are developed to obtain improved flood quantile estimates at ungauged sites. CCA is used form a physiographic space using the site characteristics from gauged Then ANN models applied identify functional relationships between quantiles variables in space. Two models, single model ensemble model, developed. The proposed approaches 151 catchments province of Quebec, Canada. evaluation procedures,...
Abstract The use of the standard normal homogeneity test (SNHT) for homogenization climatological records and studying changes in their patterns has increased recent years. critical values this were originally developed sample sizes ranging from 10 to 250 using relatively short Monte Carlo simulations (MCS). objective paper is improve SNHT extend them large sizes. values, along with errors, are 108 50 000 30 replicates one million samples each size. These mimic tails statistic better...
Abstract In recent decades, copula functions have been applied in bivariate drought duration and severity frequency analysis. Among several potential copulas, Clayton has mostly used this research, we studied the influence of tail shape various (i.e. Gumbel, Frank, Gaussian) on The appropriateness for characterization characteristics is also investigated. Drought data are extracted from standardized precipitation index time series four stations Canada (La Tuque Grande Prairie) Iran (Anzali...
Surface Temperature (ST) over India has increased by ~0.055 K/decade during 1860-2005 and follows the global warming trend. Here, natural external forcings (e.g., anthropogenic) responsible for ST variability are studied from Coupled Model Inter-comparison phase 5 (CMIP5) models 20
In this paper, improved flow duration curve (FDC) and area ratio (AR) based methods are developed to obtain better daily streamflow estimation at ungauged sites. A regression logarithmic interpolation method which makes no assumption on the distribution or shape of a FDC is introduced in paper estimate regional FDCs. The estimated combined with spatial algorithm estimates. Multiple source sites AR methods, especially geographical distance weighted (GWAR) method, an effort maximize use...
Ouarda, T.B.M.J. and S. El-Adlouni, 2011. Bayesian Nonstationary Frequency Analysis of Hydrological Variables. Journal the American Water Resources Association (JAWRA) 47(3):496-505. DOI: 10.1111/j.1752-1688.2011.00544.x Abstract: The present paper provides a discussion nonstationary frequency analysis models in hydrology with focus on approach. model an efficient estimation framework hydrological quantiles presence nonstationarity. In models, parameters are functions covariates, allowing...